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Search Senior Machine Learning Engineer (London, Belgrade, Berlin)

This listing is synced directly from the company ATS.

Role Overview

As a Senior Machine Learning Engineer, you will design and build core components of the search platform, focusing on retrieval, ranking, and classification models, including LLMs. You will deploy scalable models and optimize RAG pipelines to enhance search quality and answer generation. This role involves collaborating with cross-functional teams to drive high-impact improvements in advanced search technologies.

Perks & Benefits

This is a fully remote position with locations in London, Belgrade, and Berlin, offering flexibility in work setup. Benefits include comprehensive health, dental, and vision insurance for you and your dependents, along with a 401(k) plan. Equity may be part of the compensation package, and the role emphasizes a self-driven culture with opportunities for ownership and execution in a collaborative team environment.

⚠️ This job was posted over 8 months ago and may no longer be open. We recommend checking the company's site for the latest status.

Full Job Description

Perplexity is seeking an experienced Senior Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.

Responsibilities

  • Relentlessly push search quality forward—through models, data, tools, or any other leverage available

  • Architect and build core components of our search platform and model stack

  • Train and evaluate retrieval, ranking and classification models, including LLMs

  • Deploy models - from boosting to LLMs - in a scalable and performant way

  • Build and optimize RAG pipelines for grounding and answer generation

  • Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery

Qualifications

  • Deep understanding of search and retrieval systems, including quality evaluation principles and metrics

  • Proven track record with large-scale search or recommender systems

  • Self-driven, with a strong sense of ownership and execution

  • Minimum of 5 years of working on search or recsys-related projects

Final offer amounts are determined by multiple factors, including, experience and expertise.

Equity: In addition to the base salary, equity may be part of the total compensation package.

Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
 
 

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